Model-Free Predictive Control based on the Execution Time of Active Vectors Using Ultra-Local Model.
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| Title: | Model-Free Predictive Control based on the Execution Time of Active Vectors Using Ultra-Local Model. |
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| Authors: | Lammouchi, Zakaria1 (AUTHOR), Naoui, Mohamed2 (AUTHOR) mohamednaoui60@gmail.com, Bekakra, Youcef3,4 (AUTHOR), Khechekhouche, Abderrahmane5 (AUTHOR), Sbita, Lassaad2 (AUTHOR) |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Apr2025, Vol. 50 Issue 8, p5885-5898. 14p. |
| Subjects: | Cost functions, Vector valued functions, Problem solving, Voltage, Equations |
| Abstract: | Model-free predictive control based on the execution time of active vector (ETAV-MFPC) is proposed in this paper, and the traditional model-free predictive control uses the entire sampling period time with all candidate voltage vectors according to the principle of minimizing the cost function. The delay problem in the predictive controller may degrade the controller's performance. With the proposed control, the optimal vector is chosen only during the execution time of the active vector, which solves the delay problem which reduces the resulting current ripple and lower harmonics. The execution time is calculated using the ultra-local model (ULM) equation. In this work, the unknown part in ULM is estimated by the integrated sliding mode observer (ISMO) with an enhanced design to reduce the chattering phenomenon. The simulation results confirm the efficacy of the proposed ETAV-MFPC method for output current, demonstrating reduced current ripples and enhanced current quality. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Model-free predictive control based on the execution time of active vector (ETAV-MFPC) is proposed in this paper, and the traditional model-free predictive control uses the entire sampling period time with all candidate voltage vectors according to the principle of minimizing the cost function. The delay problem in the predictive controller may degrade the controller's performance. With the proposed control, the optimal vector is chosen only during the execution time of the active vector, which solves the delay problem which reduces the resulting current ripple and lower harmonics. The execution time is calculated using the ultra-local model (ULM) equation. In this work, the unknown part in ULM is estimated by the integrated sliding mode observer (ISMO) with an enhanced design to reduce the chattering phenomenon. The simulation results confirm the efficacy of the proposed ETAV-MFPC method for output current, demonstrating reduced current ripples and enhanced current quality. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 2193567X |
| DOI: | 10.1007/s13369-024-09629-8 |
